Previous versions of Maple already included interpolation methods for 1-dimensional data and data given for a grid of points, like in the previous example. But Maple 2018 is the first version where you can interpolate data given for points in arbitrary, unstructured locations.

The kriging interpolation method supports some extra functionality backed by statistical theory. In particular, it allows one to generate random data that is spatially correlated according to a so-called variogram. The supported variograms are explained in the SetVariogram help page. Here is an example: